Instructions to use connectivity/bert_ft_qqp-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/bert_ft_qqp-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/bert_ft_qqp-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/bert_ft_qqp-1") model = AutoModelForSequenceClassification.from_pretrained("connectivity/bert_ft_qqp-1") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): df3c96a
Saving weights and logs of step 20000
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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